AIMC Topic: Electronic Health Records

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Transforming Data from a Commercial Hospital Information System into FHIR.

Studies in health technology and informatics
The expanded use of hospital information systems in recent decades offers possibilities to use data collected in the clinical routine not only for individual patient care, but also for medical research. For this purpose, it is important use standardi...

Using Machine Learning for the Fusion of Tumor Records on a Real-World Dataset.

Studies in health technology and informatics
Cancer registries collect multiple reports describing the same tumor, potentially leading to duplicate or conflicting values across different records. This complicates further use of cancer data. Data fusion addresses this issue by consolidating mult...

Conversion of Nursing Statements into the OMOP Common Data Model.

Studies in health technology and informatics
The aim of this study is to convert nursing statements into the OMOP CDM for use in observational studies. We mapped nursing statements to SNOMED CT concepts and converted them into the OMOP CDM format through an ETL process. As a result, approximate...

FLANDERS: Fast Learning COVID-19 Care System.

Studies in health technology and informatics
The COVID-19 pandemic highlighted the complexities of diagnosing and managing acute Respiratory Failure (RF). Early prediction of RF remains a key challenge, with no established tools currently available. This study developed a machine learning model...

How Useful Is Synthetic Data in Developing Predictive Models for Health?

Studies in health technology and informatics
Synthetic data, generated using generative AI techniques, closely mimics the characteristics of real data while enhancing privacy for sensitive health data. This study evaluates synthetic tabular data based on fidelity and utility for predictive mode...

Towards the Common Data Model for an Intensive Medicine Data Space in Europe.

Studies in health technology and informatics
This work aims to identify the Key Research Areas for building and deploying the semantic interoperability framework for the Intensive Medicine Data Space in Europe. A set of European experts defined four research areas and associated challenges: i) ...

Open-Source Synthetic Data Generation of Clinical Routine Data.

Studies in health technology and informatics
Clinical routine data is a valuable resource for research and analysis in hospitals. Even though regulations allow access within a clinical system, decentralized research with up-to-date data remains a problem limited by privacy concerns. Synthetic d...

Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.

Studies in health technology and informatics
In radiology and other medical fields, informed consent often rely on paper-based forms, which can overwhelm patients with complex terminology. These forms are also resource-intensive. The KIPA project addresses these challenges by developing an AI-a...

Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation.

Studies in health technology and informatics
Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthcare, particularly using Machine Learning (ML) models. However, the technical nature of current ML model documentation often leads to lack of comprehen...

Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience.

Studies in health technology and informatics
The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study docume...